The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 04, 2016

Filed:

Aug. 28, 2013
Applicant:

Texas Instruments Incorporated, Dallas, TX (US);

Inventors:

Wei Ma, San Ramon, CA (US);

Bozhao Tan, Sunnyvale, CA (US);

Zhenyong Zhang, San Jose, CA (US);

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L 15/28 (2013.01); G10L 25/84 (2013.01); H04R 29/00 (2006.01); G06F 1/32 (2006.01); G10L 15/08 (2006.01); H04R 3/00 (2006.01);
U.S. Cl.
CPC ...
G10L 15/28 (2013.01); G06F 1/325 (2013.01); G10L 25/84 (2013.01); H04R 29/004 (2013.01); G10L 2015/088 (2013.01); H04R 3/00 (2013.01); H04R 2420/07 (2013.01); H04R 2430/03 (2013.01); H04R 2460/03 (2013.01); H04R 2460/07 (2013.01); H04R 2499/11 (2013.01); Y02B 60/32 (2013.01);
Abstract

A low power sound recognition sensor is configured to receive an analog signal that may contain a signature sound. The received analog signal is evaluated using a detection portion of the analog section to determine when background noise on the analog signal is exceeded. A feature extraction portion of the analog section is triggered to extract sparse sound parameter information from the analog signal when the background noise is exceeded. An initial truncated portion of the sound parameter information is compared to a truncated sound parameter database stored locally with the sound recognition sensor to detect when there is a likelihood that the expected sound is being received in the analog signal. A trigger signal is generated to trigger classification logic when the likelihood that the expected sound is being received exceeds a threshold value.


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